BI Tech Lead
EXL SERVICE
United States
2 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Working hours
Regular working hours
Job source
Tech stack
Data Validation
Information Engineering
Data Governance
Distributed Data Store
Power BI
Tableau (Software)
Sql Optimization
Technical Debt
Information Technology
Data Lineage
Star Schema
Data Pipelines
Job description
- Audit legacy BI environments to identify logic gaps and technical debt.
- Co-ordinate between the client and offshore team.
- Proven track record of leading distributed data engineering teams in an Agile environment.
- Define complex entity relationships, multi-level hierarchies, and attribute mappings.
- Map end-to-end data lineage and establish a robust data catalog to ensure transparency.
- Centralize fragmented business rules into a unified, scalable data foundation.
- Classify data assets based on quality and identify missing data elements required for migration.
- Partner with onshore stakeholders to rank deliverables based on business value and technical dependencies.
- Lead the offshore team in building automated data pipelines to support the new foundation.
- Manage the transition of reports , ensuring visual parity and performance optimization.Implement rigorous data quality frameworks and automated reconciliation to ensure 100% data accuracy.
Requirements
Do you have experience in Stakeholder management?, * Experienced in leading team of 4+ members
- Expert-level knowledge of Tableau
- Strong knowledge in Power BI
- Advanced SQL and experience with modern data stacks
- Mastery of Star/Snowflake schemas and semantic layer design
- automate complex dashboards and data validation workflows.
- Good knowledge in Data Engineering concepts,
- Ability to translate technical foundation risks into clear business impact
Responsibilities: Oversee organizational data engineering solutions. Lead highimpact initiatives. Ensure alignment with organizational goals. Provide executive guidance. Qualifications: Graduate in Computer Science, Data Science, or related field. 6-8 years of experience in data engineering or related field.
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